Staff Software Engineer, Tech Lead/Manager, Geo User Generated Content Ranking Quality

Google

Mountain View, California, United StatesFull-time$207,000–$300,000Posted Oct 20, 2026

About the role

MINIMUM QUALIFICATIONS:

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience building and deploying recommendation systems models

(retrieval, prediction, ranking, embedding) in production and experience

building architecture in different modeling domains.

  • 5 years of experience with ML design and ML infrastructure (e.g., model

deployment, model evaluation, data processing, debugging, fine tuning).

  • 5 years of experience testing, and launching software products, and 3 years

of experience with software design and architecture.

  • Experience integrating generative AI tools or Large Language Model (LLM)

interfaces into workflows.

PREFERRED QUALIFICATIONS:

  • Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams

and setting technical direction.

  • 3 years of experience working in a complex, matrixed organization involving

cross-functional, or cross-business projects.

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change

how billions of users connect, explore, and interact with information and one

another. Our products need to handle information at massive scale, and extend

well beyond web search. We're looking for engineers who bring fresh ideas from

all areas, including information retrieval, distributed computing, large-scale

system design, networking and data storage, security, artificial intelligence,

natural language processing, UI design and mobile; the list goes on and is

growing every day. As a software engineer, you will work on a specific project

critical to Google’s needs with opportunities to switch teams and projects as

you and our fast-paced business grow and evolve. We need our engineers to be

versatile, display leadership qualities and be enthusiastic to take on new

problems across the full-stack as we continue to push technology forward.

With your technical expertise, you will manage project priorities, deadlines,

and deliverables. You will design, develop, test, deploy, maintain, and enhance

software solutions.The Geo team is focused on building the most accurate,

comprehensive, and useful maps for our users, through products like Maps, Earth,

Street View, Google Maps Platform, and more. Every month, more than a billion

people rely on Maps services to explore the world and navigate their daily

lives.

The Geo team also enables developers to use the power of Google Maps platforms

to enhance their apps and websites. As they plot a course for the future of

mapping, they are solving complex computer science problems, designing beautiful

and intuitive product experiences, and improving our understanding of the real

world.Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

  • Design, develop, test, deploy, maintain, and enhance large-scale software

solutions.

  • Provide technical leadership on high-impact projects, and manage project

priorities, deadlines, and deliverables.

  • Facilitate alignment and clarity across teams on goals, outcomes, and

timelines, influence and coach a distributed team of engineers.

  • Lead the design and implementation of recommendation systems, optimize ML

infrastructure, and guide the development of model architecture.

Responsibilities

  • Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
  • Provide technical leadership on high-impact projects and manage project priorities, deadlines, and deliverables.
  • Align teams on goals, outcomes, and timelines; influence and coach a distributed engineering team.
  • Lead recommendation system design and implementation, optimize ML infrastructure, and guide model architecture development.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of software development experience.
  • 5 years of experience building and deploying production recommendation systems and architecture across modeling domains.
  • 5 years of experience with ML design and infrastructure, including model deployment, evaluation, data processing, debugging, or fine-tuning.
  • 5 years of experience testing and launching software products and 3 years of software design and architecture experience.
  • Experience integrating generative AI tools or LLM interfaces into workflows.
  • Preferred: Master’s degree or PhD in a related technical field, 8 years of data structures and algorithms experience, and 3 years of technical leadership experience.

Benefits

  • 20% target bonus
  • Equity
  • Benefits

Skills mentioned

Recommendation SystemsMachine LearningMLOpsModel DeploymentModel EvaluationData PipelinesGenerative AILarge Language ModelsSystem DesignSoftware Testing

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Check out our career opportunities at goo.gle/3DLEokh

Software Development10,001+ employeesMountain View, CA

H-1B sponsorship history

Historical employer filing data was found for Google. The employer record includes 57,181 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.